---
title: "First Dashboard"
author: "Iman Haqii"
output:
flexdashboard::flex_dashboard:
orientation: rows
social: menu
source_code: embed
---
```{r setup, include=FALSE}
library(ggplot2)
library(plotly)
library(plyr)
library(flexdashboard)
# Make some noisily increasing data
set.seed(955)
dat <- data.frame(cond = rep(c("A", "B"), each=10),
xvar = 1:20 + rnorm(20,sd=3),
yvar = 1:20 + rnorm(20,sd=3))
```
Tab 1
=======================================================================
Row
-----------------------------------------------------------------------
### First Example
```{r}
p <- ggplot(dat, aes(x=xvar, y=yvar)) +
geom_point(shape=1) + # Use hollow circles
geom_smooth() # Add a loess smoothed fit curve with confidence region
ggplotly(p)
```
Tab 2 here
=======================================================================
Row
-----------------------------------------------------------------------
### Second Example
```{r}
dfGamma = data.frame(nu75 = rgamma(100, 0.75),
nu1 = rgamma(100, 1),
nu2 = rgamma(100, 2))
dfGamma = stack(dfGamma)
p <- ggplot(dfGamma, aes(x = values)) +
stat_density(aes(group = ind, color = ind),position="identity",geom="line")
ggplotly(p)
```